The second handbook is taking shape

A preprint of a new handbook titled R for Photobiology is now available. Only a few pages are based on Beyond the Visible, the handbook produced during COST Action FA0906 UV4growth. Everything else is new material. As authors we have decided to publish it before it is finished, so that we can make changes and additions based on your comments. It is available through Leanpub. For dowloading the PDF, whether you decide to pay for it or not, you will have to register as user of the Leanpub the site. You will only receive an occasional message from the authors …

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Follow-up to the statement on p-values by ASA

The American Statistical Association Says [Mostly] No to p-values Norman Matloff has published a new post after receiving criticism and comments about stating “The ASA says No to p-values” in his post I wrote about some days ago. He defends his interpretation in this new post. However, I think, the interpretation of  the statement in a context different from the “Big data” field to which he is used to does not need to always be “Says No to p-values” but instead in many cases could be “Use p-values to assess the strength of the evidence and nothing else”.  However, “tests” with binary outcomes on …

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The American Statistical Association Says No to p-values

This post is copied from my Blog for Students and is to some extent off-topic but relevant to anybody doing research. Norman Matloff (2016) writes in his post: Sadly, the concept of p-values and significance testing forms the very core of statistics. A number of us have been pointing out for decades that p-values are at best underinformative and often misleading… Source: After 150 Years, the ASA Says No to p-values | Mad (Data) Scientist Yesterday, the statement by the American Statistics Association was published on-line in the journal “The American Statistician”. Many statisticians have been aware of the problems of …

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